Various applications of deep learning have been demonstrated.
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Updated
Jul 28, 2023 - Python
Various applications of deep learning have been demonstrated.
A program adapted from that of @mnielsen to input a user-drawn digit through a simple GUI and determine the digit written using artificial neural networks.
Tugas Kecerdasan Komputasional (use python lang)
Machine Learning library
A Neural Network Library in Python.
Computational Intelligence Shits
Me & AI.
Neural netwok is designed with the aim to predict daily bike rental ridership. Netwok is trained on previous history data, and after training, it is used for prediction.
This is a Neural Network class I created in Python along with some test data.
The website Try-AI will be a place to explore how neural networks and AI works, directly from your browser, with games built on processing.
Feed-Forward Artificial Neural Network entirely in C. Utilising backpropagation to train. Including an example implementation of the XOR function.
Classifying various cuisines based on the ingredients used in the dish
In this project I have successfully developed a 2 layer neural network without using any major libraries like Keras or Tensorflow by purely using mathematical calculations to implement gradient descent and back propagation algorithms along with feed forward network
American Sign Language to Speech Converter
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
This checks out data provided by the Kepler space telescope to study exoplanets.
Using Emergent, designed a face classifier based on emotion and gender, as well as a network designed to analyze inhibitory neurons behavior compared to excitation neurons.
Solution to a simple churn-modelling problem, where given a sample dataset from a business (specifically a bank for this example) you have to train an ANN to predict which clients are about to leave the bank soon
Homeworks and practical lessons of Artificial Intelligence.
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